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The role of government in forming agricultural policy: economic resilience measuring index exploited


EU member states economies are characterized by a high degree Government involvement into countries economy compared to some other Western states (Singapore, United States and etc.). There is a noticeable scientific thinking stating that too high Government involvement into the matters of its countries particular economic sector may bring adverse effects. It raises a scientific and practical problem: how to decide if Government should intervene into the particular economic sectors operations and when? In order to solve this issue, an economic resilience measuring index of agricultural sector was created. The agricultural sector consumes the biggest part of EU budget, acts as a main employer in rural regions of EU member states and is very susceptible to external perturbations, especially from the demand side, as supply cannot be timely adjusted to demand. Thus it was chosen as a target sector in our scientific research. In order to select the indicators for agricultural sector’s economic resilience measuring index we conducted an expert survey. Based on an Analytic Hierarchy Process model the final set of indicators and their weights for an agricultural sector’s resilience were established. The economic resilience index created in accordance to MCDM SAW method. A created index is appropriate in evaluating the resilience of agricultural sector in all open economies making it a versatile tool in a Government officials hands in order to decide the necessity of intervening actions into agricultural sector.


Keywords: economic resilience, agricultural policy, Government, Analytic Hierarchy Process.


DOI: 10.24818/amp/2018.31-08


Morkūnas, M., Volkov, A., Bilan, Y., A.G. Raišienė. 2018. The role of government  in  forming  agricultural  policy: economic resilience measuring index exploited. In Administratie si Management Public, (31), pp. 111-131, DOI: 10.24818/amp/2018.31-08. [Scopus rating (2017): CiteScore 2.71, SJR 0.991, SNIP 1.056].


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